deeplearning-wisc

cider

PyTorch implementation of CIDER (How to exploit hyperspherical embeddings for out-of-distribution detection), ICLR 2023

dream-ood

source code for NeurIPS'23 paper "Dream the Impossible: Outlier Imagination with Diffusion Models"

gradnorm_ood

On the Importance of Gradients for Detecting Distributional Shifts in the Wild

knn-ood

Code for ICML 2022 paper "Out-of-distribution Detection with Deep Nearest Neighbors"

large_scale_ood

MOS: Towards Scaling Out-of-distribution Detection for Large Semantic Space

MCM

PyTorch implementation of MCM (Delving into out-of-distribution detection with vision-language representations), NeurIPS 2022

npos

source code for ICLR'23 paper "Non-parametric Outlier Synthesis"

react

Code for NeurIPS 2021 paper "ReAct: Out-of-distribution Detection With Rectified Activations"

stud

source code for CVPR'22 paper "Unknown-Aware Object Detection: Learning What You Don’t Know from Videos in the Wild"

vos

source code for ICLR'22 paper "VOS: Learning What You Don’t Know by Virtual Outlier Synthesis"

deeplearning-wisc/vos

source code for ICLR'22 paper "VOS: Learning What You Don’t Know by Virtual Outlier Synthesis"

deeplearning-wisc/knn-ood

Code for ICML 2022 paper "Out-of-distribution Detection with Deep Nearest Neighbors"

deeplearning-wisc/stud

source code for CVPR'22 paper "Unknown-Aware Object Detection: Learning What You Don’t Know from Videos in the Wild"

deeplearning-wisc/large_scale_ood

MOS: Towards Scaling Out-of-distribution Detection for Large Semantic Space

deeplearning-wisc/MCM

PyTorch implementation of MCM (Delving into out-of-distribution detection with vision-language representations), NeurIPS 2022

deeplearning-wisc/dream-ood

source code for NeurIPS'23 paper "Dream the Impossible: Outlier Imagination with Diffusion Models"

deeplearning-wisc/gradnorm_ood

On the Importance of Gradients for Detecting Distributional Shifts in the Wild

deeplearning-wisc/npos

source code for ICLR'23 paper "Non-parametric Outlier Synthesis"

deeplearning-wisc/react

Code for NeurIPS 2021 paper "ReAct: Out-of-distribution Detection With Rectified Activations"

deeplearning-wisc/cider

PyTorch implementation of CIDER (How to exploit hyperspherical embeddings for out-of-distribution detection), ICLR 2023

deeplearning-wisc/multi-label-ood

deeplearning-wisc/dice

Code for ECCV 2022 paper "DICE: Leveraging Sparsification for Out-of-Distribution Detection"

deeplearning-wisc/MOOD

Code for CVPR2021 paper: MOOD: Multi-level Out-of-distribution Detection

deeplearning-wisc/opencon

Code for TMLR 2023 paper "OpenCon: Open-world Contrastive Learning"

deeplearning-wisc/siren

source code for NeurIPS'22 paper "SIREN: Shaping Representations for Detecting Out-of-Distribution Objects"

deeplearning-wisc/poem

PyTorch implementation of POEM (Out-of-distribution detection with posterior sampling), ICML 2022

deeplearning-wisc/vit-spurious-robustness

deeplearning-wisc/args

deeplearning-wisc/Spurious_OOD

deeplearning-wisc/picle

Official code for ICML 2024 paper on Persona In-Context Learning (PICLe)

deeplearning-wisc/NSCL

Code for ICML 2023 paper "When and How Does Known Class Help Discover Unknown Ones? Provable Understandings Through Spectral Analysis"

deeplearning-wisc/hypo

deeplearning-wisc/sal

source code for ICLR'24 paper "How does unlabeled data provably help OOD detection?"

deeplearning-wisc/PG-DRO

Official Implementation of AAAI 2023 paper "Distributionally Robust Optimization with Probabilistic Groups"

deeplearning-wisc/scone

deeplearning-wisc/sorl

Code for NeurIPS 2023 paper "A Graph-Theoretic Framework for Understanding Open-World Semi-Supervised Learning"

deeplearning-wisc/id_label

source code for ICML'24 paper "When and how does in-distribution label help out-of-distribution detection?"

deeplearning-wisc/SNN

Official Implementation of AAAI 2024 "How to Overcome Curse-of-Dimensionality for OOD Detection?" paper